Johns Hopkins graduate student Xiang Yang, at right, teamed up with Rajat Mittal, a professor of mechanical engineering, to revamp a "useless" 169-year-old math strategy, making it work up to 200 times faster. Credit: Will Kirk/JHU
VIDEO AT LINK: Simulation data showing significantly faster reduction in solution error for the new Scheduled Relaxation Jacobi (SRJ) method as compared to the classical Jacobi and Gauss-Seidel iterative methods.The equation that is being solved here is the two-dimensional Laplace equation on a 128×128 grid.
Read more at: http://phys.org/news/2014-06-19th-century-math-tactic-makeoverand.html#jCp
Ping!..............
Hey, why isn’t the kid in mandatory Gender/Minority Studies class?
How many fingers do you see, Winston?
So I’m thinking: what is the risk to crypto currency? Bitcoin useless as a crack coder mines all the remaining coins in a day?
Is it as fast as the Trachtenberg System of Speed Math advertized in the back of magazines back in the 1960s?
Good Will Huan Ting.
Still not as fast as the Monte Carlo Reversed Returns Probability Pyramid Method
transposed into Common Core, it will take 200 days just to state the problem.
Only in America do these appear. What a great innovative wonderful country we live in!
Any Freeper phrenologists around?
Many profs would have written this paper with their own name as lead author. Good for Mittal for letting the young man take the credit.